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In this paper, we proposed a novel approach for estimating preliminary values of parameters of the Asadi profiling function (APF), then the least-squares principle was used with these preliminary values and ground subsidence monitoring data at the Thong Nhat underground mine to determine to the final parameters of the APF. This function was employed to predict ground subsidence at the Mong Duong mine where there are geological and rock geomachenial conditions  well as seams’ inclination similar to those of Thong Nhat mine. The results show that the Rood Mean Square Error (RMSE) and Mean Absolute Error (MAE) equal to 0.081 m and 0.055 m or 9.9% and 6.7% of maximum subsidence, respectively, and a correlation coefficient of 0.973. These results prove that the APF with calculated parameters can be used to predict ground subsidence due to underground mining in the areas that have the similar conditions to Thong Nhat mine.

mỏ - địa chất

A novel approach of determining the parameters of Asadi profiling function for predictiong ground subsidence due to inclied coal seam mining at Quang Ninh coal basin